Sr Python Full Stack Developer-Data Applications (hybrid)

Octal Philippines Inc.; Valenzuela; On-site; PHP 1,800,000 - 3,600,000; Full time

Job summary

Internetwork Expert is seeking a Senior Python Full-Stack Developer / Data Applications Engineer to design and implement end-to-end web apps using Python, Snowflake, REST APIs, and AWS. The role also emphasizes AI-assisted development and agentic coding tools within production environments.

Responsibilities include building a Python backend with Flask/FastAPI and a responsive frontend, integrating data workflows, and collaborating with teams to deploy reliable data applications at scale.

Qualifications

• 5+ years of Python development — pandas, requests, openpyxl, regex as daily tools.
• Solid Snowflake SQL — joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT).
• REST API experience — OAuth2, pagination, rate limiting, JSON/XML parsing.
• Full-stack capability — Python backend (Flask or FastAPI) with HTML/JS frontend; able to build and ship a working web application end to end.
• AWS fundamentals — S3 read/write, Lambda or EC2 execution, Secrets Manager or Parameter Store.
• Demonstrated experience with AI-assisted development — using LLMs as active co-authors in production engineering context.
• Hands-on experience with agentic coding tools — Claude Code, Cursor, Devin, or similar.
• Git proficiency — branching, PRs, versioned releases.

Responsibilities

• Develop Python backend (Flask/FastAPI) and a responsive HTML/JS frontend to deliver end-to-end applications.
• Integrate Snowflake data workflows and RESTful APIs for robust data access.
• Leverage AWS services for storage, compute, and secret management in production.
• Apply AI-assisted tooling to accelerate development while maintaining quality and reliability.

Skills

Python development

Snowflake SQL

REST APIs

Flask/FastAPI

AWS fundamentals

AI-assisted development

Agentic coding tools

Git

Front-end HTML/JS

React or Vue

Tools

GitHub Copilot

Claude Code

Cursor

Devin

Airflow

Prefect

Step Functions

Job description

We are looking for a Senior Python Full-Stack Developer / Data Applications Engineer with 5+ yearsof Python development experience, strong expertise in Snowflake and REST APIs, solid AWS fundamentals, and proven experience using AI-assisted and agentic coding tools such as Claude Code, Cursor, or GitHub Copilot in a production environment.

• 5+ years of Python development — pandas, requests, openpyxl, regex as daily tools
• Solid Snowflake SQL — joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT)
• REST API experience — OAuth2, pagination, rate limiting, JSON/XML parsing
• Full-stack capability — Python backend (Flask or FastAPI) with HTML/JS frontend; able to build and ship a working web application end to end
• AWS fundamentals — S3 read/write, Lambda or EC2 execution, Secrets Manager or Parameter Store
• Demonstrated experience with AI-assisted development — using LLMs (Claude, Copilot, GPT-4, or equivalent) as active co-authors in a production engineering context, not just for autocomplete
• Hands-on experience with agentic coding tools — Claude Code, Cursor, Devin, or similar — directing autonomous AI execution for real deliverables
• Comfort working from existing workflow documentation to rebuild logic in a new stack
• Git proficiency — branching, PRs, versioned releases

Strong Plus:

• Microsoft Graph API — SharePoint file writes, list operations, and email dispatch
• Experience building self-service data tools or internal ops tooling for non-technical users
• Familiarity with Alteryx Designer (understanding what you're replacing is a meaningful head start)
• Workflow orchestration tools — Airflow, Prefect, Step Functions, or similar
• React or Vue for more complex frontend components
• KNIME Analytics Platform familiarity — relevant for the analyst self-service tool decision
• Data quality libraries — Great Expectations, phone numbers, email-validator
• Experience decomposing complex engineering problems into prompt sequences for agentic AI execution